Traditional backup systems fail to meet the needs of modern organisations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements.

Traditional backup systems fail to meet the needs of
modern organizations by focusing on backup, not
recovery. They treat databases as generic files to be
copied, rather than as transactional workloads with
specific data integrity, consistency, performance, and
availability requirements.
Additionally, highly regulated industries, such as financial
services, are subject to ever?increasing regulatory
mandates that require stringent protection against data
breaches, data loss, malware, ransomware, and other
risks. These risks require fiduciary?class data recovery
to eliminate data loss exposure and ensure data integrity
and compliance

Ensuring that data can be exchanged between disparate systems reliably and with speed and transactional integrity is a difficult trick to pull off. And it gets even trickier when things don’t work as anticipated. Yet this is exactly the challenge IBM has addressed for over a decade: first with IBM MQSeries® and now with IBM WebSphere® MQ.

No matter what your business sells, where it operates or who its customers are, its ongoing success might ultimately depend on the answers to three simple questions. Read on to learn how these questions may help business success.

Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.

In spite of the growth of virtual business activities performed via the World Wide Web, every business transaction or operation is performed at a physical place. And as handheld GPS devices drive a growing awareness of the concept of "location," people are increasingly looking for operational efficiencies, revenue growth, or more effective management as a result of geographic data services and location-based intelligence. In this white paper, David Loshin, president of Knowledge Integrity, Inc., introduces geographic data services (such as geocoding and proximity matching) and discusses how they are employed in both operational and analytical business applications. The paper also reviews analytical techniques applied across many types of organizations and examines a number of industry-specific usage scenarios.

Sponsored by: NEC and IntelŽ XeonŽ processor
Servers with the IntelŽ XeonŽ processor E7 v2 family in a four-CPU configuration can deliver up to twice the processing performance, three times the memory capacity, and four times the I/O bandwidth of previous models. Together with their excellent transaction processing performance, these servers provide a high level of availability essential to enterprise systems via advanced RAS functions that guarantee the integrity of important data while also reducing costs and the frequency of server downtime.
Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.

In spite of the growth of virtual business activities performed via the World Wide Web, every business transaction or operation is performed at a physical place. And as handheld GPS devices drive a growing awareness of the concept of "location," people are increasingly looking for operational efficiencies, revenue growth, or more effective management as a result of geographic data services and location-based intelligence. In this white paper, David Loshin, president of Knowledge Integrity, Inc., introduces geographic data services (such as geocoding and proximity matching) and discusses how they are employed in both operational and analytical business applications. The paper also reviews analytical techniques applied across many types of organizations and examines a number of industry-specific usage scenarios.